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Annotated intraoral image dataset for dental caries detection

appsOther research productkeyboard_double_arrow_right Image 20 Jan 2025Publisher:Zenodo
Authors: Ahmed, Syed Muhammad Faizan; Ghori, Huzaifa; Khalid, Aamna; Nooruddin, Ayesha; Adnan, Niha; Lal, Abhishek; Umer, Fahad;

doi: 10.5281/zenodo.14769743 , 10.5281/zenodo.14827783 , 10.5281/zenodo.14723442 , 10.5281/zenodo.14723443 , 10.5281/zenodo.14827784

Annotated intraoral image dataset for dental caries detection

Abstract

This dataset contains 6,313 images with corresponding annotations in YOLO, COCO, Pascal VOC, and LabelMe formats for object detection of dental decays in primary and secondary dentition. The dataset is designed to support research and development in automated dental diagnosis, providing a diverse set of annotated images for training and evaluation of deep learning models. Annotations: YOLO format (TXT)COCO format (JSON)Pascal VOC format (XML)LabelMe format (JSON)Task: Object detection

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average